Senior Architect, ML Engineering
- Icertis
- 2 - 15 years
- Pune
- 25 days ago
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Job Description
- Act as the highest-level technical authority for critical issues impacting AI/ML SaaS products.
- Develop a detailed technical understanding of AI applications and services and be equipped to fix hands-on issues in any area.
- Perform deep-dive diagnostics across microservices, APIs, AI/ML pipelines, and Azure resources.
- Lead root cause analysis (RCA), create incident/problem records, and implement permanent fixes.
- Ensure adherence to SLAs and SLOs for enterprise customers.
- Interface with partners, professional services, and customers during escalations, lead debugging, and provide resolution plans.
- Support and troubleshoot AI/ML inference services, model deployments, and data pipelines.
- Work with Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Data/Storage services.
- Collaborate with data scientists and engineering teams on performance optimization and retraining impacts. Feed field issues into the product backlog.
- Implement and fine-tune monitoring using Datadog, Elastic Search/Kibana, and Azure Monitor.
- Set up and maintain alerting for anomaly detection in AI/ML workloads.
- Partner with engineering, DevOps, and SRE teams to improve architecture and prevent recurring incidents.
- Create and maintain detailed runbooks, playbooks, and knowledge base articles.
- Provide mentoring and technical guidance to junior engineers and operational teams.
- Development and troubleshooting skills on the Microsoft platform, with expertise in C#, ASP.NET, MVC, SQL, JQUERY, Stored Procedures, Azure. Python skills will be an added advantage.
- Database: SQL debugging, query tuning; exposure to Cosmos DB or PostgreSQL preferred.
- Cloud Infra: Deep hands-on expertise in Microsoft Azure (AKS, App Services, Functions, Storage, Networking), CI/CD pipelines.
- AI/ML: Understanding of ML model deployment, inference pipelines, vector stores, RAG, and GPU/CPU optimization.
- Observability Logging: Proficiency with Datadog, Elastic Search/Kibana, Open Telemetry, and Azure Monitor.
- Service Management: Strong knowledge of ITSM processes (incident, problem, change).
- Experience: 12-15 years in technical architect engineering roles, with at least 2+ years in senior technical leadership positions in a cloud/SaaS environment.
- B.E./B.Tech/MCA or equivalent degree. Certifications like Microsoft Azure Solutions Architect, Azure DevOps Engineer, or Datadog Observability are a plus.
- Excellent problem-solving and incident management skills under pressure.
- Strong customer communication for enterprise B2B clients.
- Ability to collaborate with AI engineers, data scientists, and SRE/DevOps teams.
- Passion for automation and continuous improvement.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: IcertisLocation(s): Pune+ View Contact
Keyskills: Service management Automation jQuery Networking Postgresql Debugging Incident management Stored procedures Monitoring Python
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